Search Results for author: Annelies Braffort

Found 13 papers, 1 papers with code

Synthesis for the Kinematic Control of Identity in Sign Language

no code implementations SLTAT (LREC) 2022 Félix Bigand, Elise Prigent, Annelies Braffort

Sign Language (SL) animations generated from motion capture (mocap) of real signers convey critical information about their identity.

Example-based Multilinear Sign Language Generation from a Hierarchical Representation

no code implementations SLTAT (LREC) 2022 Boris Dauriac, Annelies Braffort, Elise Bertin-Lemée

This article presents an original method for automatic generation of sign language (SL) content by means of the animation of an avatar, with the aim of creating animations that respect as much as possible linguistic constraints while keeping bio-realistic properties.

Text Generation

Rosetta-LSF: an Aligned Corpus of French Sign Language and French for Text-to-Sign Translation

no code implementations LREC 2022 Elise Bertin-Lemée, Annelies Braffort, Camille Challant, Claire Danet, Boris Dauriac, Michael Filhol, Emmanuella Martinod, Jérémie Segouat

These are: news headlines in French, translations of these headlines into LSF in the form of videos showing animations of a virtual signer, gloss annotations of the “traditional” type—although including additional information on the context in which each gestural unit is performed as well as their potential for adaptation to another context—and AZee representations of the videos, i. e. formal expressions capturing the necessary and sufficient linguistic information.

The Myth of Signing Avatars

no code implementations MTSummit 2021 John C. McDonald, Rosalee Wolfe, Eleni Efthimiou, Evita Fontinea, Frankie Picron, Davy Van Landuyt, Tina Sioen, Annelies Braffort, Michael Filhol, Sarah Ebling, Thomas Hanke, Verena Krausneker

Development of automatic translation between signed and spoken languages has lagged behind the development of automatic translation between spoken languages, but it is a common misperception that extending machine translation techniques to include signed languages should be a straightforward process.

Machine Translation Translation

Dicta-Sign-LSF-v2: Remake of a Continuous French Sign Language Dialogue Corpus and a First Baseline for Automatic Sign Language Processing

no code implementations LREC 2020 Valentin Belissen, Annelies Braffort, Mich{\`e}le Gouiff{\`e}s

While the research in automatic Sign Language Processing (SLP) is growing, it has been almost exclusively focused on recognizing lexical signs, whether isolated or within continuous SL production.

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

1 code implementation22 Aug 2019 Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudrealt, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris

Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture.

Cultural Vocal Bursts Intensity Prediction Sign Language Recognition +1

DEGELS1: A comparable corpus of French Sign Language and co-speech gestures

no code implementations LREC 2012 Annelies Braffort, Le{\"\i}la Boutora

In this paper, we describe DEGELS1, a comparable corpus of French Sign Language and co-speech gestures that has been created to serve as a testbed corpus for the DEGELS workshops.

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